with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯
driven solutions, and contribute to the company's growth. Responsibilities Collaborate with teams to define analytics goals and understand business objectives. Implement data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and pattern analyses. Develop KPIs … and dashboards for decision-making using Amazon QuickSight. Conduct exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture and governance. Requirements Bachelor's or master's degree in relevant fields. Experience with AWS analytics services and cloud-based data analysis. Proficiency in AWS tools, data modeling, ETL, and data warehousing. Skills in More ❯
with the continued scaling and optimisation of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would be offering Free Certification More ❯
